Esther Dietrich

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 6

Top Topics

Survival Prediction

Weakly Supervised

Microscopy Images

Top Venues

Publications

Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn
Deep Learning-Based Discrete Calibrated Survival Prediction. CoRR (2022)
Patrick Fuhlert, Anne Ernst, Esther Dietrich, Fabian Westhaeusser, Karin Kloiber, Stefan Bonn
Deep Learning-Based Discrete Calibrated Survival Prediction. ICDH (2022)
Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. CoRR (2021)
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images. MIUA (2021)
Esther Dietrich, Patrick Fuhlert, Anne Ernst, Guido Sauter, Maximilian Lennartz, H. Siegfried Stiehl, Marina Zimmermann, Stefan Bonn
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network. ML4H@NeurIPS (2021)
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, Rafael Kramann, Tobias B. Huber, Guido Sauter, Victor G. Puelles, Marina Zimmermann, Stefan Bonn
Deep learning-based bias transfer for overcoming laboratory differences of microscopic images. CoRR (2021)